找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Computer Vision - ACCV 2012 Workshops; ACCV 2012 Internatio Jong-Il Park,Junmo Kim Conference proceedings 2013 Springer-Verlag Berlin Heide

[復制鏈接]
樓主: Agoraphobia
11#
發(fā)表于 2025-3-23 12:55:35 | 只看該作者
12#
發(fā)表于 2025-3-23 14:46:28 | 只看該作者
Paul Corrigan,Mike Hayes,Paul Joyce projecting” 2D contours extracted in the depth map. As our experimental results demonstrate, the proposed approach significantly outperforms the state-of-the-art 2D approaches, in particular, latent SVM object detector, as well as recently proposed approaches for object detection in RGB-D data.
13#
發(fā)表于 2025-3-23 18:24:51 | 只看該作者
14#
發(fā)表于 2025-3-23 23:01:13 | 只看該作者
15#
發(fā)表于 2025-3-24 04:34:50 | 只看該作者
16#
發(fā)表于 2025-3-24 08:04:50 | 只看該作者
View-Invariant Object Detection by Matching 3D Contours projecting” 2D contours extracted in the depth map. As our experimental results demonstrate, the proposed approach significantly outperforms the state-of-the-art 2D approaches, in particular, latent SVM object detector, as well as recently proposed approaches for object detection in RGB-D data.
17#
發(fā)表于 2025-3-24 13:37:16 | 只看該作者
Human Detection with Occlusion Handling by Over-Segmentation and Clustering on Foreground Regions3D data of the foreground regions using a “split-merge” approach. Over-segmentation and clustering are preformed on foreground regions followed by the height validation. Experimental results demonstrate that the proposed method outperforms two state-of-art human detection methods.
18#
發(fā)表于 2025-3-24 17:22:52 | 只看該作者
Conference proceedings 2013op on Background Models Challenge. LNCS 7729 contains the papers selected for the Workshop on e-Heritage, the Workshop on Color Depth Fusion in Computer Vision, the Workshop on Face Analysis, the Workshop on Detection and Tracking in Challenging Environments, and the International Workshop on Intelligent Mobile Vision.
19#
發(fā)表于 2025-3-24 20:16:33 | 只看該作者
https://doi.org/10.1057/9780230236660s in the training set. For evaluation, a new dataset representing 60 coin classes of the Roman Republican period is used. The proposed system achieves a classification rate of 83.3 % and a runtime improvement of 93 % through the coarse-to-fine classification.
20#
發(fā)表于 2025-3-25 02:17:22 | 只看該作者
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-5 18:15
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
宜兴市| 如皋市| 邵东县| 宝兴县| 图们市| 民勤县| 高邑县| 龙泉市| 宕昌县| 甘德县| 神池县| 南岸区| 连南| 巴青县| 乌海市| 扬州市| 赤峰市| 平利县| 什邡市| 涞水县| 迁西县| 通城县| 澄迈县| 随州市| 休宁县| 七台河市| 东安县| 秦皇岛市| 离岛区| 绵阳市| 陕西省| 卓尼县| 西乡县| 竹北市| 玉龙| 石楼县| 新源县| 南宫市| 青龙| 安龙县| 永宁县|